Senior Data Engineer

Job Description

WHAT THIS ROLE WILL DO This is a hands-on Data role with strong Python/PySpark coding skills Contribute to the enhancements and continuous improvement of performance and reliability of the existing Data Platform Services to meet the requirements from Data Engineering/Product team Design and build self-servicing onboarding and automation capabilities in Core Data Platform services in a scalable, reliable and secure way. Design and build platform capabilities to support onboarding and operation effectiveness Design and develop scalable data platform and integration solutions for various data sources leveraging Databricks Unified Platform Ensure data quality and integrity across all data systems. Develop and maintain documentation for data systems and processes. Monitor and troubleshoot data platform issues. Participate in on-call rotations/Pagerduty for data platform support. TECHNICAL SKILLS/COMPETENCIES Good understanding of Data Lakes, Data Warehouses is MUST to have Software development, coding expertise in the Data Engineering field using any of the Python/Pandas/PySpark is must to have Hands on experience using version control systems such as Git and CI/CD workflows and practice Design and Develop data ingestion services that are highly performant, reliable and scalable Decent expertise using ANSI SQL and Spark SQL is key to have Workflow automation, orchestration using Airflow or equivalent tools stack Hands on working knowledge on at least in one of these: Databricks, Hadoop and related stacks Working experience in at least one of cloud services from any of the Amazon AWS, Google GCP or Microsoft Azure, preferably AWS streaming (Kafka) and batch-based data sources diverse data sources and data formats (xml, json, yaml, parquet, avro, delta) and respective use cases Any visualization experience is an advantage so you can bring clarity to prod incidents by using them is a nice to have An excellent understanding of the nuances that add complexities around time zones, geo, various data formats, data types across different storage systems is nice to have Agile development methodologies using the Atlassian suite: Jira, Confluence Collaborate with cross-functional teams to deliver data solutions and provide technical support and guidance to team members. Stay up to date with the latest data engineering technologies and trends.